Advance from labeless training, one intuition is to use weak-label for training. The idea proposed by Sultani[1]}, and further extended in [2]}, [3]}, [4]}, used a video-level label, which only informs there is an anomaly in somewhere of video. With this weak video-level label, separate the anomaly video into small segments, assume at least one of those segments contain anomalous-scene for sure. Another study, Yang[5]} used implicit human support, from Youtube videos. They used user-edited short videos from youtube, assume that short videos(less than 4min) searched by specific keyword have a high chance to be consist of dominant scene correlated to the keyword.
